WebA framework is proposed to count vehicles and estimate traffic flow parameters in dense traffic scenes. First, a pyramid-YOLO network is proposed for detecting vehicles in dense scenes, which can effectively detect small-size and occluded vehicles. WebThis paper presents the first highway vehicle counting method in compressed domain, aiming at achieving comparable estimation performance with the pixel-domain methods. Counting in compressed domain is rather challenging due to limited information about vehicles and large variance in vehicle numbers. To address this problem, we develop new …
papers/CompressedDomainHighwayVehicleCountingRegression.md …
WebIn order to reduce vehicle distortion caused by the foreshortening effect, a nonuniform mesh grid and a projective transformation are estimated and applied during the warping process. Second, we extract a set of low-level features for each foreground segment and develop a cascaded regression approach to count and classify vehicles directly ... WebThis paper presents a highway vehicle counting method in compressed domain, aiming at achieving acceptable estimation performance approaching the pixel-domain methods. Such a task essentially is challenging because the available information (e.g. motion vector) to describe vehicles in videos is quite limited and inaccurate, and the vehicle count in … duplicate smartphone
Highway Vehicle Counting in Compressed Domain - Papers - Read …
WebOct 11, 2024 · Counting on-road vehicles in the highway is fundamental for intelligent transportation management. This paper presents the first highway vehicle counting … WebDec 6, 2024 · To efficiently overcome the main weaknesses of BS, in this paper, we propose a new video-based vehicle detection and counting method for complex traffic scenes. The proposed method detects vehicles by BS with sparse and low-rank decomposition, which is robust to illumination or weather changes. WebHighway Vehicle Counting in Compressed Domain CVPR 2016 · Xu Liu , Zilei Wang , Jiashi Feng , Hongsheng Xi · Edit social preview This paper presents a highway vehicle counting method in compressed domain, aiming at achieving acceptable estimation performance approaching the pixel-domain methods. duplicates gsheet